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Automatic Binary Data Classification Using a Modified Allen–Cahn Equation.
- Source :
-
International Journal of Pattern Recognition & Artificial Intelligence . Mar2021, Vol. 35 Issue 04, pN.PAG-N.PAG. 20p. - Publication Year :
- 2021
-
Abstract
- In this paper, we propose an automatic binary data classification method using a modified Allen–Cahn (AC) equation. The modified AC equation was originally developed for image segmentation. The equation consists of the AC equation with a fidelity term which enforces the solution to be the given data. In the proposed method, we start from a coarse grid and refine the grid until the accuracy of the data classification reaches a given tolerance. Therefore, we can avoid a laborious trial and error procedure. For a numerical method for the modified AC equation, we use a recently developed explicit hybrid scheme. We perform several 2D and 3D computational tests to demonstrate the performance of the proposed method. The computational results confirm that the proposed algorithm is automatic. [ABSTRACT FROM AUTHOR]
- Subjects :
- *IMAGE segmentation
*EQUATIONS
*CLASSIFICATION
*BINARY number system
Subjects
Details
- Language :
- English
- ISSN :
- 02180014
- Volume :
- 35
- Issue :
- 04
- Database :
- Academic Search Index
- Journal :
- International Journal of Pattern Recognition & Artificial Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 149758119
- Full Text :
- https://doi.org/10.1142/S0218001421500130